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Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia

BACKGROUND: Globally, road traffic accidents (RTAs) are the leading killer of young people and are projected to be the 7(th) leading cause of death by 2030. This study is aimed at analyzing the spatial distribution of road traffic accident and identifying hotspot areas across Kebeles (smallest admin...

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Autores principales: AkliluToma, Shamenna, Senbeta, Bedane Ashenafi, Bezabih, Ali Anteneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research and Publications Office of Jimma University 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512938/
https://www.ncbi.nlm.nih.gov/pubmed/34703179
http://dx.doi.org/10.4314/ejhs.v31i4.14
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author AkliluToma, Shamenna
Senbeta, Bedane Ashenafi
Bezabih, Ali Anteneh
author_facet AkliluToma, Shamenna
Senbeta, Bedane Ashenafi
Bezabih, Ali Anteneh
author_sort AkliluToma, Shamenna
collection PubMed
description BACKGROUND: Globally, road traffic accidents (RTAs) are the leading killer of young people and are projected to be the 7(th) leading cause of death by 2030. This study is aimed at analyzing the spatial distribution of road traffic accident and identifying hotspot areas across Kebeles (smallest administrative division in Ethiopia) of Hawassa city administration in Ethiopia. METHOD: Secondary data on daily traffic accident record from October 2013 to June 2018 was obtained from Hawassa city administration police department. The spatial clustering and hotspots identification were carried through Moran's I and Getis-Ord Gi* statistics. Data analysis was conducted using GeoDa 1.16.0.0 and ArcGIS 10.2 softwares. RESULTS: Drivers within age group of 18–30 years, who were hired by private business owners and who had no driving license committed the highest number of traffic accidents. The majority of traffic accidents were caused due to careless driving, failure to give priority for pedestrian, high speed and driver failure to give priority for each other. In addition, about 82.01% of traffic accidents were recorded on asphalts road and 11.51% by gravel road. Spatial clustering of road traffic accidents for accidents occurred on gravel road and in sunny weather conditions found to be significant. Different hotspot areas were identified for gravel type of road and sunny weather condition. CONCLUSION: The concerned government bodies involved in policymaking are recommended to give special attention to young driver who were hired by private business owners. Interventions to mitigate the occurrence of traffic accident would take in to account the identified hotspot areas.
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spelling pubmed-85129382021-10-25 Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia AkliluToma, Shamenna Senbeta, Bedane Ashenafi Bezabih, Ali Anteneh Ethiop J Health Sci Original Article BACKGROUND: Globally, road traffic accidents (RTAs) are the leading killer of young people and are projected to be the 7(th) leading cause of death by 2030. This study is aimed at analyzing the spatial distribution of road traffic accident and identifying hotspot areas across Kebeles (smallest administrative division in Ethiopia) of Hawassa city administration in Ethiopia. METHOD: Secondary data on daily traffic accident record from October 2013 to June 2018 was obtained from Hawassa city administration police department. The spatial clustering and hotspots identification were carried through Moran's I and Getis-Ord Gi* statistics. Data analysis was conducted using GeoDa 1.16.0.0 and ArcGIS 10.2 softwares. RESULTS: Drivers within age group of 18–30 years, who were hired by private business owners and who had no driving license committed the highest number of traffic accidents. The majority of traffic accidents were caused due to careless driving, failure to give priority for pedestrian, high speed and driver failure to give priority for each other. In addition, about 82.01% of traffic accidents were recorded on asphalts road and 11.51% by gravel road. Spatial clustering of road traffic accidents for accidents occurred on gravel road and in sunny weather conditions found to be significant. Different hotspot areas were identified for gravel type of road and sunny weather condition. CONCLUSION: The concerned government bodies involved in policymaking are recommended to give special attention to young driver who were hired by private business owners. Interventions to mitigate the occurrence of traffic accident would take in to account the identified hotspot areas. Research and Publications Office of Jimma University 2021-07 /pmc/articles/PMC8512938/ /pubmed/34703179 http://dx.doi.org/10.4314/ejhs.v31i4.14 Text en © 2021 Shamenna A., et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
AkliluToma, Shamenna
Senbeta, Bedane Ashenafi
Bezabih, Ali Anteneh
Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title_full Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title_fullStr Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title_full_unstemmed Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title_short Spatial Distribution of Road Traffic Accident at Hawassa City Administration, Ethiopia
title_sort spatial distribution of road traffic accident at hawassa city administration, ethiopia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512938/
https://www.ncbi.nlm.nih.gov/pubmed/34703179
http://dx.doi.org/10.4314/ejhs.v31i4.14
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